Instructions to use Indramal/Calender-Event-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Indramal/Calender-Event-Classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Indramal/Calender-Event-Classification")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Indramal/Calender-Event-Classification") model = AutoModelForSequenceClassification.from_pretrained("Indramal/Calender-Event-Classification", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77dfea98bcd8b5956fad8f16c73bec399d991872fbc1b98e5ac4be66e977e64f
- Size of remote file:
- 268 MB
- SHA256:
- a47c242ecda63cb680ab79aace290709ac7e00c44487824e13eb17e4e393b12a
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